A Hybrid Model for Prognostic and Health Management of Electronic Devices
Techniques for prognostic and health management are becoming common in the electronic domain to reduce the cost of failures. Typically, the proposed techniques rely either on physics-based or data-driven models. Only a few studies explored hybrid models to combine the advantages of both models. For...
Main Authors: | Alessandro Murgia, Chaitra Harsha, Elena Tsiporkova, Chinmay Nawghane, Bart Vandevelde |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2024-02-01
|
Series: | Electronics |
Subjects: | |
Online Access: | https://www.mdpi.com/2079-9292/13/3/642 |
Similar Items
-
PHM SURVEY: Implementation of Prognostic Methods for Monitoring Industrial Systems
by: Abdenour Soualhi, et al.
Published: (2022-09-01) -
TabNet: Locally Interpretable Estimation and Prediction for Advanced Proton Exchange Membrane Fuel Cell Health Management
by: Benyuan Zhang, et al.
Published: (2024-04-01) -
EMI shielding leadless package solution for automotive
by: ByongJin Kim, et al.
Published: (2022-06-01) -
RUL Prediction for Lithium Batteries Using a Novel Ensemble Learning Method
by: Jiaju Wu, et al.
Published: (2022-11-01) -
ETHICS IN PROGNOSTICS AND HEALTH MANAGEMENT
by: Kai Goebel, et al.
Published: (2019-01-01)